Image detection method, image detection device and mobile terminal

An image detection and to-be-detected technology, applied in the field of image processing, can solve problems such as inability to achieve high-precision detection of target objects, achieve accurate and rapid target detection, meet real-time requirements, and achieve high-precision positioning.

Inactive Publication Date: 2020-08-28
GUANGDONG OPPO MOBILE TELECOMM CORP LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, target tracking algorithms cannot achieve high-precision detection of target objects

Method used

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  • Image detection method, image detection device and mobile terminal
  • Image detection method, image detection device and mobile terminal
  • Image detection method, image detection device and mobile terminal

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] An image detection method provided in Embodiment 1 of the present application is described below, please refer to the attached figure 1 , the image detection method provided in Embodiment 1 of the present application includes:

[0045] In step S101, obtain the reference picture of the video to be detected;

[0046] In this embodiment of the application, the above-mentioned video to be detected may be a video stored locally, such as a TV series, a variety show, etc. downloaded by the user; , news programs, cartoons, etc. watched online; it can also be the video that the user turns on the camera of the mobile terminal to record or the preview screen after the mobile terminal starts the camera or the video camera, and the type of the video to be detected is not limited here.

[0047] The reference picture above can be any frame of the video to be detected. The image detection method provided in the embodiment of the present application can detect the target object in the ...

Embodiment 2

[0084] Another image detection method provided by the embodiment of this application is described below, please refer to the attached image 3 , the image detection method of Embodiment 2 of the present application includes:

[0085] In step S201, obtain the reference picture of the video to be detected;

[0086] In step S202, use the trained convolutional neural network model to perform target object detection on the reference picture, and obtain a detection result;

[0087] In the embodiment of the present application, the above steps S201 and S202 are the same as steps S101 and S102 in the first embodiment. For details, please refer to the description of the first embodiment, which will not be repeated here.

[0088] In step S203, it is judged whether the detection result indicates that the reference picture contains one or more target objects; if not, execute step S204; if yes, execute step S205;

[0089] In step S204, set a picture that is a preset number of frames away...

Embodiment 3

[0112] Another image detection method provided by the embodiment of this application is described below, please refer to the attached Figure 5 , the image detection method of Embodiment 3 of the present application includes:

[0113] In step S301, obtain the reference picture of the video to be detected;

[0114] In step S302, use the trained convolutional neural network model to perform target object detection on the reference picture, and obtain a detection result;

[0115] In step S303, it is judged whether the detection result indicates that the reference picture contains one or more target objects; if not, execute step S304; if yes, execute step S305;

[0116] In step S304, set a picture that is a preset number of frames away from the reference picture as the reference picture, and return to step S302;

[0117] In step S305, acquire the picture to be detected which is separated from the reference picture by a preset number of frames in the video to be detected;

[011...

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Abstract

The present application provides an image detection method, an image detection device, and a mobile terminal, wherein the image detection method includes: acquiring a reference picture of a video to be detected; Detecting, obtaining a detection result; if the detection result indicates that one or more target objects are included in the reference picture, then acquiring a picture to be detected; Each target object in the object set is tracked to obtain a tracking result; based on the detection result and the tracking result, it is judged whether the tracking is successful; if the tracking is successful, based on the tracking result, the first target object set is Each target object in the image to be detected is displayed differently. The present application realizes fast and accurate detection of the target object in the video to be tested.

Description

technical field [0001] The present application belongs to the field of image processing, and in particular relates to an image detection method, an image detection device, a mobile terminal and a computer-readable storage medium. Background technique [0002] At present, in order to realize the detection of the target object in the video, there are two commonly used methods, one is to use the target detection algorithm to process the pictures in the video separately, and detect the target object in a certain frame of picture alone; the other is to use The target tracking algorithm predicts the position of the target object in the next frame of the picture based on the historical tracking results of the previous pictures in the video. [0003] The target detection algorithm can realize high-precision detection of the target object and accurately identify the position of the target object, but the running speed is slow. Even if the image processor (Graphics Processing Unit, GP...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/246G06N3/04G06T7/49G06K9/62
CPCG06T7/246G06T7/49G06N3/045G06F18/22
Inventor 张弓
Owner GUANGDONG OPPO MOBILE TELECOMM CORP LTD
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